mlsanityData to 7 Oct 2026

Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects

arXiv 2407.02430 ↗First posted 2 Jul 2024cs.CV cs.AI cs.GRcited by 52

Not on the map. Why?

Cited by 20 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

The recent availability and adaptability of text-to-image models has sparked a new era in many related domains that benefit from the learned text priors as well as high-quality and fast generation capabilities, one of which is texture generation for 3D objects. Although recent texture generation methods achieve impressive results by using text-to-image networks, the combination of global consistency, quality, and speed, which is crucial for advancing texture generation to real-world applications, remains elusive. To that end, we introduce Meta 3D TextureGen: a new feedforward method comprised of two sequential networks aimed at generating high-quality and globally consistent textures for arbitrary geometries of any complexity degree in less than 20 seconds. Our method achieves state-of-the-art results in quality and speed by conditioning a text-to-image model on 3D semantics in 2D space and fusing them into a complete and high-resolution UV texture map, as demonstrated by extensive qualitative and quantitative evaluations. In addition, we introduce a texture enhancement network that is capable of up-scaling any texture by an arbitrary ratio, producing 4k pixel resolution textures.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). Builds on 59 of its 66 references that are in the map. First posted on arXiv 2 Jul 2024.

Builds on

59 of 66 references.

References · 59

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  5. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  6. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  7. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  8. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  9. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  10. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,765
  11. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
  12. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,483
38 more
  1. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
  2. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
  3. 2018Demystifying MMD GANscited by 1,268
  4. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
  5. 2021Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Datacited by 961
  6. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 928
  7. 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoiserscited by 921
  8. 2021CogView: Mastering Text-to-Image Generation via Transformerscited by 691
  9. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 684
  10. 2023Muse: Text-To-Image Generation via Masked Generative Transformerscited by 640
  11. 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 638
  12. 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generationcited by 529
  13. 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
  14. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  15. 2022Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priorscited by 487
  16. 2023Exploiting Diffusion Prior for Real-World Image Super-Resolutioncited by 486
  17. 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
  18. 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 332
  19. 2023Common Diffusion Noise Schedules and Sample Steps are Flawedcited by 308
  20. 2023TEXTure: Text-Guided Texturing of 3D Shapescited by 303
  21. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  22. 2023Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystackcited by 278
  23. 2020PolyGen: An Autoregressive Generative Model of 3D Meshescited by 267
  24. 2023Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioningcited by 254
  25. 2023MeshGPT: Generating Triangle Meshes with Decoder-Only Transformerscited by 254
  26. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 234
  27. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  28. 2023DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Modelcited by 213
  29. 2019BSP-Net: Generating Compact Meshes via Binary Space Partitioningcited by 205
  30. 2023Scalable 3D Captioning with Pretrained Modelscited by 201
  31. 2023Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Modelscited by 122
  32. 2024MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstructioncited by 94
  33. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
  34. 2023Text-Guided Texturing by Synchronized Multi-View Diffusioncited by 86
  35. 2023Consistent123: Improve Consistency for One Image to 3D Object Synthesiscited by 84
  36. 2023Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Renderingcited by 84
  37. 2023Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Modelscited by 79
  38. 2023PolyDiff: Generating 3D Polygonal Meshes with Diffusion Modelscited by 66

50 most cited of 59 All 59 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 11; 2025: 28; 2026: 13.

52 papers.

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  1. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
  2. 2025TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Modelscited by 204
  3. 2024MV-Adapter: Multi-view Consistent Image Generation Made Easycited by 111
  4. 2024MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3Dcited by 34
  5. 2024TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splattingcited by 28
  6. 2025MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusioncited by 28
  7. 2025UniTEX: Universal High Fidelity Generative Texturing for 3D Shapescited by 23
  8. 2025RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesiscited by 20
  9. 2025Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assetscited by 19
  10. 2024Connecting Consistency Distillation to Score Distillation for Text-to-3D Generationcited by 18
  11. 2025WorldGen: From Text to Traversable and Interactive 3D Worldscited by 18
  12. 20243DEnhancer: Consistent Multi-View Diffusion for 3D Enhancementcited by 12
38 more
  1. 2024Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Secondscited by 11
  2. 2024RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturingcited by 10
  3. 2025Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objectscited by 10
  4. 2024SuperMat: Physically Consistent PBR Material Estimation at Interactive Ratescited by 9
  5. 2024FlexiTex: Enhancing Texture Generation via Visual Guidancecited by 8
  6. 2025MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processingcited by 8
  7. 2025FlexPainter: Flexible and Multi-View Consistent Texture Generationcited by 7
  8. 2025SeqTex: Generate Mesh Textures in Video Sequencecited by 7
  9. 2025GAP: Gaussianize Any Point Clouds with Text Guidancecited by 7
  10. 2024Jointly Generating Multi-view Consistent PBR Textures using Collaborative Controlcited by 4
  11. 2025ZeroScene: A Zero-Shot Framework for 3D Scene Generation from a Single Image and Controllable Texture Editingcited by 4
  12. 2025LaFiTe: A Generative Latent Field for 3D Native Texturingcited by 4
  13. 2025SyncSDE: A Probabilistic Framework for Diffusion Synchronizationcited by 3
  14. 2024Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Modelscited by 2
  15. 2025MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Modelscited by 2
  16. 2025MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projectioncited by 2
  17. 2025PacTure: Efficient PBR Texture Generation on Packed Views with Visual Autoregressive Modelscited by 2
  18. 2025LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Contextcited by 2
  19. 2026Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learningcited by 2
  20. 2026AssetGen: Deployable 3D Asset Generation at Interactive Speedcited by 2
  21. 2025DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshescited by 1
  22. 2025CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shadingcited by 1
  23. 2025Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Modelscited by 1
  24. 2025Jigsaw3D: Disentangled 3D Style Transfer via Patch Shuffling and Maskingcited by 1
  25. 2025GOATex: Geometry & Occlusion-Aware Texturingcited by 1
  26. 2025Photo3D: Advancing Photorealistic 3D Generation through Structure-Aligned Detail Enhancementcited by 1
  27. 2025MatLat: Material Latent Space for PBR Texture Generationcited by 1
  28. 2026GaussianGrow: Geometry-aware Gaussian Growing from 3D Point Clouds with Text Guidancecited by 1
  29. 2025CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generationcited by 0
  30. 2025GeoTexBuild: 3D Building Model Generation from Map Footprintscited by 0
  31. 2026TexSpot: 3D Texture Enhancement with Spatially-uniform Point Latent Representationcited by 0
  32. 2026GarmentPainter: Efficient 3D Garment Texture Synthesis with Character-Guided Diffusion Modelcited by 0
  33. 2026EI-Part: Explode for Completion and Implode for Refinementcited by 0
  34. 2026MV2UV: Generating High-quality UV Texture Maps with Multiview Promptscited by 0
  35. 2026Advances in Neural 3D Mesh Texturing: A Surveycited by 0
  36. 2026RealSkin: Spatio-Spectral Partial Neural Adjoint Maps for Image-to-3D Attribute Transfercited by 0
  37. 2026GLOSS: Geometric Local Self-Similarity Learning for Faithful Reference-Guided Texture Fillcited by 0
  38. 2026SceneHI: High-Resolution 3D-Consistent Scene Texturing with Controllable Illuminationcited by 0

50 most cited of 52 All 52 (JSON)